Evidence map›Paper›PMID 39291822›Full record

ArticleOrthopaedic surgery2024

Comparison between a Novel Knee Arthrometer and Simultaneous Stress Radiography for the Diagnosis of Complete and Partial Acute Anterior Cruciate Ligament Tears.

Junqiao Li, Jiayao Zhang, Mingke You, Xiaolong Yang, Wenjing Ma, Qian Deng, Gang Chen, Xin Tang, Weili Fu, Yan Xiong and 2 more

Abstract readComparative Study
In one paragraph

Article in Orthopaedic surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. [Research progress on enhanced recovery after posterior cruciate ligament reconstruction].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Junqiao LiSports Medicine Center, West China Hospital, Sichuan University, Chengdu, China.ORCID https://orcid.org/0000-0003-1875-1577
Jiayao ZhangSports Medicine Center, West China Hospital, Sichuan University, Chengdu, China.
Mingke YouSports Medicine Center, West China Hospital, Sichuan University, Chengdu, China.ORCID https://orcid.org/0000-0002-7608-5456
Xiaolong YangSports Medicine Center, West China Hospital, Sichuan University, Chengdu, China.
Wenjing MaSports Medicine Center, West China Hospital, Sichuan University, Chengdu, China.
Qian DengSports Medicine Center, West China Hospital, Sichuan University, Chengdu, China.
Gang ChenSports Medicine Center, West China Hospital, Sichuan University, Chengdu, China.ORCID https://orcid.org/0000-0002-7303-4530
Xin TangSports Medicine Center, West China Hospital, Sichuan University, Chengdu, China.
Weili FuSports Medicine Center, West China Hospital, Sichuan University, Chengdu, China.ORCID https://orcid.org/0000-0003-4438-2760
Yan XiongSports Medicine Center, West China Hospital, Sichuan University, Chengdu, China.ORCID https://orcid.org/0000-0001-6130-5842
Qi LiSports Medicine Center, West China Hospital, Sichuan University, Chengdu, China.ORCID https://orcid.org/0009-0008-9181-016X
Jian LiSports Medicine Center, West China Hospital, Sichuan University, Chengdu, China.

Funding

West China Hospital, Sichuan University ZYGD21005
6 · The paper itself

Abstract

objectivesThe type of ligamentous tear and the degree of knee laxity have important guiding significance for the diagnosis and management of anterior cruciate ligament (ACL) tears. Instrumental measurement is necessary for ACL tears since physical examination and magnetic resonance imaging (MRI) cannot provide an objective and quantitative assessment of knee laxity. This study aimed to compare the application of a novel knee arthrometer and simultaneous stress radiography in differentiating between complete and partial acute ACL tears, and further assess the correlation between the two measurements.

methodsA total of 106 patients with complete acute ACL tears and 52 patients with partial acute ACL tears were included in the study. Preoperative arthrometry and simultaneous stress radiography were performed using the Ligs arthrometer at 90, 120, and 150 N to assess side-to-side difference (SSD) in anterior knee laxity. The optimal threshold was determined using the receiver operating characteristic (ROC) curve. The area under the ROC curve (AUC) was used to assess the diagnostic value of the measurement. Pearson's correlation coefficient was used to assess the correlation between the two measurements.

resultsThe optimal differential SSD thresholds in the Ligs arthrometer were 2.7 mm at 90 N, 3.8 mm at 120 N, and 4.6 mm at 150 N. Similarly, the optimal differential SSD thresholds in simultaneous stress radiography were 3.8 mm at 90 N, 5.1 mm at 120 N, and 5.6 mm at 150 N. The AUC analysis revealed that the Ligs arthrometer was fairly informative at 90 N (AUC = 0.851), 120 N (AUC = 0.878), and 150 N (AUC = 0.884), and simultaneous stress radiography was highly informative at 90 N (AUC = 0.910), 120 N (AUC = 0.925), and 150 N (AUC = 0.948). Moreover, the AUC of the combined measurements was 0.914 at 90 N, 0.931 at 120 N, and 0.951 at 150 N. A significantly strong correlation was found between the two measurements at 90 N (r = 0.743, p < 0.001), 120 N (r = 0.802, p < 0.001), and 150 N (r = 0.823, p < 0.001).

conclusionsThe Ligs arthrometer and simultaneous stress radiography proved to be valid diagnostic tools to differentiate between complete and partial acute ACL tears, with a strong correlation between the two measurements in SSD values. Compared with single instrumental measurement, the combination of the two measurements can further improve the diagnostic value in this regard.

Indexed as

Anterior Cruciate Ligament InjuriesArthrometry, ArticularAdolescentAdultFemaleHumansJoint InstabilityMaleMiddle AgedRadiographyYoung AdultAnterior cruciate ligamentKnee arthrometerKnee laxityStress radiography

Identifiers

PMID39291822
PMCPMC11608773

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.